CN104040947A - Policy controller based network statistics generation - Google Patents

Policy controller based network statistics generation Download PDF

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Publication number
CN104040947A
CN104040947A CN201180076250.8A CN201180076250A CN104040947A CN 104040947 A CN104040947 A CN 104040947A CN 201180076250 A CN201180076250 A CN 201180076250A CN 104040947 A CN104040947 A CN 104040947A
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information
node
network
network statistics
pcrf
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CN104040947B (en
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F.卡斯特罗卡斯特罗
S.弗南德斯阿龙索
M.A.穆诺斯德拉托雷阿龙索
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Telefonaktiebolaget LM Ericsson AB
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Telefonaktiebolaget LM Ericsson AB
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/142—Network analysis or design using statistical or mathematical methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Pure & Applied Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Algebra (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Meter Arrangements (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
  • Telephonic Communication Services (AREA)

Abstract

In order to support generation of network statistics, a policy controller (30) of a mobile network may be provided with a network statistics generator (32) and with an interface (Ni) to a network intelligence function (60). The network statistics generator (32) may use these interfaces of the policy controller (30) for obtaining information needed to generate the network statistics. In addition, the network statistics generator (32) may also use information which is locally available at the policy controller (30). In other words, the policy controller (30) or one or more other nodes may act as sources of information for generating the network statistics. The network statistics generator (32) may select types of information to be used for compiling a certain network statistic and also suitably select nodes to be used as sources of information for obtaining these types of information. This may for example be accomplished on the basis of a request received from the network intelligence function (60).

Description

Network statistics based on strategy controller generates
Technical field
The present invention relates to for the method for generating network statistics and corresponding device.
Background technology
For mobile network's operator, know and performance-relevant polytype information of mobile network, if the amount of the data of transmission relevant to some network node, customer group geographic area etc. are useful.For example, can be by this type of information as the decision-making of carrying on the work, the investment decision for example whether dropping in core or radio network infrastructure, on the basis of which local investment network infrastructure etc. etc.Other examples of this type of business decision are product decisions, mode that such as product provides, subscriber's monetization (subscriber monetization), market segmentation etc.Can also formulate decision-making by this information solves subscriber's loss or prevents network interferences, the network interferences of for example network congestion form.
This type of information of collecting in mobile network also can be called network intelligence.Network intelligence can comprise by for example checking that data service monitors that multiple network node moves the ability of the information of collecting, and also comprises that the information based on collected formulates the ability of decision-making.Network intelligence can be applied the information that provides caught to carry out the middleware of Bandwidth Management, traffic shaping, tactical management, charging and book keeping operation, service guarantees, income assurance etc. as capturing information with to Virtual network operator.
But the required information of network intelligence may be obtained from polytype network node, and these network nodes do not cooperate and may have the different abilities of the multiple parts for information needed is provided.This may cause information to repeat, and need to process the different time interval of different reporting formats, report information etc.For example, dissimilar node can provide dissimilar interface to come for report information.Moreover different nodes may need to be individually configured to provide multiple parts of this information, the performance that this may cause very large signaling consumption and also affect node.This so may affect network intelligence and be applied to the information of complicated type.
Therefore, there is the technology that needs to generate efficiently mobile network's network statistics.
Summary of the invention
According to embodiments of the invention, provide a kind of for mobile network's the method for network statistics is provided.According to the method, mobile network's strategy controller receives the request for generating network statistics.Strategy controller also selects at least one node as information source from multiple nodes.In addition, strategy controller is selected the information of at least one type that will obtain.Strategy controller obtains the information of selection type from least one selected node.Then, the network statistics that the Information generation of strategy controller based on obtained asked, and send the report that comprises generated network statistics.
According to still another embodiment of the invention, provide a kind of strategy controller.Strategy controller comprise for mobile network's node and/or at least one interface of other node communications, network statistics interface & processor.This processor is configured to:
-receive the request for generating network statistics via network statistics interface,
-select at least one node as information source from multiple nodes,
The information of at least one type that-selection will be obtained,
-obtain the information of selection type from least one selected node,
The network statistics that-Information generation based on obtained is asked, and
-send the report that comprises generated network statistics via network statistics interface.
According to still another embodiment of the invention, provide a kind of for generating mobile network's the system of network statistics.This system comprises strategy controller and network intelligence node.In this system, strategy controller is configured to receive the request for generating network statistics from network intelligence node.Moreover strategy controller is configured to select at least one node also to select the information of at least one type that will obtain as information source from multiple nodes.Strategy controller is also configured to obtain from least one selected node the information of selection type.And strategy controller is configured to the network statistics of asking based on obtained Information generation, and the report that comprises generated network statistics is sent to network intelligence node.
According to still another embodiment of the invention, provide a kind of computer program, for example, adopt the computer program of data carrier or physical storage medium form.This computer program comprises program code, described program code will be carried out by the processor of mobile network's strategy controller, carries out the following method operating: receive the request for generating network statistics thereby strategy controller is configured to carry out wherein strategy controller; Select at least one node as information source from multiple nodes; The information of at least one type that selection will be obtained; Obtain the information of selection type from least one selected node; The network statistics that Information generation based on obtained is asked; And send comprise generated network statistics report.
According to another embodiment, can be provided for realizing additive method, equipment or the computer program of these methods.
Brief description of the drawings
Fig. 1 illustrates the strategy and charging control (PCC) architecture that wherein realize according to the mobile network of the concept for generating network statistics of the embodiment of the present invention in schematic form.
Fig. 2 illustrates for illustrating according to the signaling diagram of the process of the generating network statistics of the embodiment of the present invention.
Fig. 3 illustrates for illustrating according to the signaling diagram of the process of the reporting ent statistics of the embodiment of the present invention.
Fig. 4 illustrates the signaling diagram of the process for illustrating the obtaining information that the embodiment of the present invention uses.
Fig. 5 illustrates the strategy controller according to the embodiment of the present invention in schematic form.
Fig. 6 illustrates the flow chart illustrating in schematic form according to the method for the embodiment of the present invention.
Embodiment
Hereinafter, explain in more detail the present invention with reference to example embodiment and accompanying drawing.Illustrated embodiment relates to the concept of the network statistics for generating mobile network.Specifically, these concepts can be used to network intelligence function that polytype network statistics is provided.Hereinafter, by 3GPP(third generation partner program) explain these concepts in mobile network's scene.Mobile network can support the radio access technologies (RAT) of one or more types, as GSM(global system for mobile communications), the enhanced data rates of GSM EDGE(GSM evolution), UMTS(Universal Mobile Telecommunications System) and/or the UMTS of evolution, also referred to as 3GPP LTE(Long Term Evolution).Thus, mobile network can be equipped with the radio access network of one kind of multiple corresponding types, as the UTRAN(E-UTRAN of gsm radio Access Network (GRAN), GSM EDGE radio access network (GERAN), UMTS radio access network (UTRAN) or evolution).But, be appreciated that illustrated concept can also be applied to the mobile network of other types, for example use as the mobile network of the RAT of the other types of the RAT based on code division multiple access (CDMA), and the node of the particular type of hereinafter describing may change to some extent according to the RAT type realizing.For example, moreover these concepts can also be applied to fixing mobile convergence (FMC) scheme, are applied to and also support fixing access, use in the mobile network of digital subscriber line (DSL) or coaxial cable access technology.
Fig. 1 illustrates according to 3GPP technical specification (TS), for example, in the strategy of 3GPP TS 23.203 and charging control (PCC) architecture according to the realization of the concept of the embodiment of the present invention.As shown in the figure, PCC architecture comprises the first gateway 24 of for example realizing as gateway (SGW) in illustrated example; The second gateway 26 of realizing as grouped data network gateway (PGW) 26 in illustrated example; The strategy controller 30 of realizing as "Policy and Charging Rules Function (PCRF) in illustrated example; And data bank 38.Moreover PCC architecture is also included in the policy control realizing in PGW 26 and implements function (PCEF) 34.In illustrated example, data bank 38 is assumed to corresponding to subscriber's profile data bank (SPR).But, be appreciated that the data bank that can also use other types, for example user data data bank (UDR).As shown in the figure, PCC architecture can also comprise carrier binding and event reporting function (BBERF) 39, off-line accounting system (OFCS) 42, Online Charging System (OCS) 44, application function (AF) 50 and/or fixed access network node (FAN) 55, the Certificate Authority of for example fixed access network and book keeping operation (AAA) server or the Broadband Remote Access Server (BRAS) in business measuring ability (TDF) 36, SGW 24, realized.
PCRF 30 is configured to implementation strategy control decision and the charging control based on stream.PCRF 30 provides the network control of relevant server data stream detection, gating (gating), service quality (QoS) and the charging based on stream for PCEF 34.For this purpose, PCRF 30 can adopt signaling that PCC rule is informed to PCEF 34.PCEF 34 can be configured to carry out server data stream detection, strategy enforcement and the billing function based on stream, and this typically implements with the PCC rule of signaled by application PCRF 30.Moreover PCEF 34 can also realize the functional of grouping inspection, as deep packet inspection (DPI), and classification of service.In this way, can packet be classified according to the PCC rule of definition in PCEF 34, and be assigned to certain service.
PCEF 34 can be responsible for implementing certification, access authorization and service and book keeping operation and the ambulant strategy about subscriber.PCRF 30 can be in charge of definition and must meet the successful delivery service of ability or maintain the individuality strategy to network, application and the subscriber's condition of the QoS of given service.Data bank 38 can be independent database or be integrated into existing subscriber database, and as home subscriber servers (HSS), data bank 38 can comprise as the information of right, speed planning etc.Data bank 38 can provide subscription data, as subscriber's the service of getting permission; Each preempting priority of getting permission service; About the information of subscriber's qos parameter, the guarantee bandwidth QoS for example subscribing; Subscriber's charging relevant information, the positional information that for example charging is relevant; Subscriber's classification, for example subscriber will be provided the Gold Subscriber of high QoS or will be provided silver medal or the Bronze Subscriber of lower QoS.
AF 50 is to provide element that can one or more application at delivery service place in the network layer different from the network layer at request service place.For example, can be in Signaling Layer request service delivery service in transport layer.The example of AF is the function of mobile network's IP Multimedia System (IMS), as Proxy Call Session Control Function (P-CSCF) or as the application server of Session Initiation Protocol application server.AF 50 typically communicates by letter with transport session information with PCRF 30, the description of the data that for example will pay in transport layer.
TDF 36 can support grouping inspection and classification of service by for example carrying out deep packet inspection (DPI).For this purpose, can be according to the rule of configuration in TDF 36 by Internet Protocol (IP) packet classification, to packet can be assigned to the service of certain type.30 of PCRF can control and provide applicable Internet resources to this service by for example install or configure corresponding PCC rule in PCEF 34.TDF 36 can realize as independent node, maybe can be integrated in another network node, for example, be integrated in as in the gateway of SGW 26.In rear a kind of example, TDF 36 can coexist with PCEF 34.According to some embodiment, TDF 36 can also as for collecting the detector (probe) about the information of the business through mobile network's transmission, for example, follow the tracks of used Internet resources by the URL(uniform resource locator) in the packet based on checked (URL) or Uniform Resource Identifier (URI).
Again as shown in Figure 2, the node of PCC architecture is by being called, and the interface of Gx, Gxx, Gy, Gz, Sd, Sp, Sy, Rx and RADIUS or reference point are come coupled to each other.Gx reference point resides between PCRF 30 and gateway 26, and allows communicating by letter between PCRF 30 and PCEF 34.Gxx reference point resides between PCRF 30 and BBERF 39.Gy reference point resides between gateway 26 and OCS 44.Gz reference point resides between PGW 26 and OFCS 42.Rx reference point resides between AF 50 and PCRF 30.Sd reference point resides between TDF 36 and PCRF 30.Sp reference point resides between data bank 38 and PCRF 30.Sy reference point resides between OCS 42 and PCRF 30.FAN 55 and PCRF 30 are via RADIUS interface, based on RADIUS(remote authentication dial-in user service) or the interface of Diameter coupled to each other.About the details that realizes these interfaces and agreement can be referring to 3GPP TS, for example, 3GPP TS 23.203 and 3GPP TS 29.212, and IETF RFC 2865,2866 and 3588.The PCC architecture that is appreciated that Fig. 1 is intended to illustrate the exemplary components that may relate in the realization of the embodiment of the present invention, but also may relate to other elements in the realization of the embodiment of the present invention.For example, can revise in conjunction with the node being connected with PCRF 30 interfaces and corresponding interface the PCC architecture of Fig. 1.For example, data bank 38 can be used as UDR and realizes, and the interface of data bank 38 to PCRF 30 can be realized by Ud reference point.Have, PCC architecture can comprise the user's that will be used for roaming the V-PCRF(PCRF that is interviewed again), and PCRF 30 can be provided with the interface to V-PCRF, for example, realize by S9 reference point.And, be appreciated that the Multi-instance that some nodes can be provided, for example, multiple SGW and corresponding BBERF, multiple PGW and corresponding PCEF, multiple TDF, multiple AF or multiple FAN.
In illustrated embodiment, PCRF 30 is provided with network statistics maker 32 and is provided with to the interface Ni of network intelligence function (NIF) 60.Ni interface can be for example for markup language (XML) template based on expanding of the message transmitting between PCRF 30 and NIG 60.Network statistics maker 32 has the purposes that generates polytype network statistics, and then these network statistics can report to NIF 60 via interface Ni., be appreciated that network statistics maker does not need to realize as the dedicated physical of PCRF 30 herein, but can be functional corresponding to some of PCRF 30, it can also be by software, and the program code of for example processor by PCRF 30 being carried out is realized.Correspondingly, in the following description, the functional of network statistics maker 32 also will be described to the functional of PCRF 30.NIF 60 can analyze or storage networking statistics then.This processes can produce one or more strategies of configuration in change PCRF 30 or data bank 38 and the decision-making of profile in some cases.For example, may occur that operator determines that change is assigned to the QoS rank of certain user's profile, this is because network statistics is indicated certain use pattern.
Because the interface that PCRF 30 is equipped with to multiple different nodes, adds up required information so the network statistics maker 32 of PCRF 30 can obtain generating network with these interfaces.In addition, network statistics maker 32 can also use the available information in PCRF 30 places.In other words, PCRF 30 or one or more other nodes can be used as the information source for generating network statistics.Network statistics maker 32 can select to be used for the type of the information of working out certain network statistics, and suitably selects to be used as the node of the information source of the information of obtaining these types.This for example request based on receiving from NIF 60 is implemented.
Correspondingly, PCRF 30 can be used as policy of Central Government and puts to coordinate and work out network statistics.This may relate to the information using from transmission face, for example can be from the information obtaining as the transmission node of SGW 24 or PGW 26, specifically from the information of PCEF 34, TDF 36 and/or BBERF 39, from the information of application surface, the information that for example can obtain from the AF node as AF 50 and/or from the information of user's face, the information that for example can obtain from data bank 38 or OCS 44.This is possible, because PCRF 30 is that supervising the network, application and user profile are to carry out the central network node at intellectual access, QoS and charging decision-making place.PCRF 30 receives between the transmission face of information at application surface and from AF node and transmission node.Correspondingly, PCRF 30 is provided with the access right of generating network being added up to useful polytype information.This type of information can use one or more interfaces of PCRF 30 to obtain from other nodes.But this type of information can also be in and provide 30 of PCRF, PCRF 30 itself is the valuable useful information source for generating network statistics.Therefore, network statistics maker 32 is located to PCRF 30 and can generates efficiently polytype network statistics.For example, PCRF 30 can obtain the transmission surface information that will be used for generating network statistics from PCEF 34, TDF 36 and/or BBERF 39, can obtain the application surface information that will be used for generating network statistics from AF 50, and can obtain the user plane information that will be used for generating network statistics from data bank 38.In FMC scheme, PCRF 30 can be used as the strategy controller of convergence, also carrys out implementation strategy control in conjunction with fixed access network, and obtains the information for generating network statistics from FAN 55.
In illustrated embodiment, the network statistics maker 32 in PCRF 30 can need to be added up from the complex network of the information combination of heterogeneous networks node for providing.PCRF 30 can coordinate these network nodes for the object of supervision and report corresponding information.Then network statistics maker 32 can collect from the report of these network node receptions to generate the network statistics that reports to NIF 60.
Moreover, functional due to as strategy controller, PCRF 30 has and determines that in each case which information is important and should monitors the intelligence of which information.PCRF 30 can dynamically select the information type that will obtain, and selects one or more other network nodes of the information for these types are provided.In this way, can avoid configuration network node statically for example, to monitor the performance issue being caused or other restrictions of not always required information and individual networks node, relevant problem of storing the information monitoring.Have, whether PCRF 30 can determine to need to set up session to obtain this information with certain node in each case again.For example, in some cases, PCRF 30 may set up session with certain node and carry out the required information of PCC decision-making to obtain PCRF 30, and can generate network statistics with this type of information.
Fig. 2 illustrates the process for generating network statistics according to the embodiment of the present invention in schematic form.Illustrated process relates to PCRF 30, NIF 60, first node 21 and Section Point 22.The first and second nodes 21,22 can be corresponding to any element being connected with PCRF 30 interfaces shown in Fig. 1, for example SGW 24 or BBERF 39, PGW26 or PCEF 34, TDF 36, thesaurus 38, OCS 44, AF 50 or FAN 55.The first and second nodes 21,22 can also be corresponding to the node of unshowned other types in the Fig. 1 being connected with PCRF 30 interfaces.
As shown in the figure, NIF 60 can contact PCRF 30 to ask one or more network statistics by send message 201 to PCRF 30.Message 201 can identify by for example comprising corresponding statistics identifier the type of the network statistics that will generate.PCRF 30 can confirm to receive message 201 by sending message 202 to NIF 60.Message 202 can for example confirm whether PCRF 30 can generate the network statistics that certain is asked.At PCRF 30 places, the request receiving with message 201 can define a group network statistics that will generate and report to NIF 60.
The type of the network statistics that can ask in message 201 by corresponding identifier and identify for example can comprise:
-use certain RAT, be for example registered to certain service via the access of E-UTRAN, for example subscriber's quantity of IMS service;
-the quantity of the access of subscriber to certain service that is arranged in certain region;
The subscriber's of expedited data business quantity when-roaming;
-quantity to certain URL access;
-quantity to certain service access;
-be the quantity of the session of certain APN (APN) foundation;
-active subscriber's quantity;
-the descending and/or uplink service flow that transmitted, the descending byte of for example according to the up byte of having transmitted, having transmitted, the upstream data packet transmitted or the downstream data packet of having transmitted.
If necessary, can repeat mutual between NIF 60 and PCRF 30.For example, NIF 60 can be at certain Time dependent to will generating and report to a group network statistics interpolation of NIF 60 or removing certain network statistics.This can will implement the new request of this group interpolation or the network statistics removing by send mark to PCRF 30.As alternative, NIF 60 can also send new request to define one group of new network statistics that will generate and report to NIF 60 to PCRF 30.
As mentioned above, can be between NIF 60 and PCRF 30 mutual in identify dissimilar network statistics by corresponding identifier.PCRF 30 so can be configured to using these identifiers to can be used in network statistics for generating certain type and select to obtain one or more type informations and can be used in to select one or more nodes relevant as the information of information source.In the process of Fig. 2, PCRF 30 realizes the selection of the information of one or more types that will obtain at step 203 place.Moreover PCRF 30 realizes at step 204 place and selects one or more nodes as information source.Below some examples of corresponding selection of network statistics and information type and information source will be provided.
-according to an example, network statistics can represent the quantity of having accessed mobile network's the user who belongs to certain user profiles in certain region and in the period of certain terminal type of use.In this case, the type of the information of obtaining is the user with this terminal type, this can obtain from PCEF 34 according to the International Mobile Station Equipment Identification of user terminal (IMEI), and the instruction of these user's access in area-of-interest, and this can obtain from PCEF 34.Based on these instructions, PCRF 30 can increase progressively counter the access times counting coming during the time period interested.
-according to another example, network statistics can represent the user's who simultaneously registers in IMS in the time that E-UTRAN accesses quantity.In this case, the type of the information that obtain is that this can obtain from PCEF 34, and these users register in IMS or the instruction of cancel register via the user of E-UTRAN access, and this can obtain from AF 50.PCRF 30 can be in one of each these users are registered in IMS time increases progressively counter and in IMS, this counter is successively decreased when cancel register as one of these users.
-according to another example, the access times of the user that network statistics can represent to be arranged in certain region to certain service.In this case, the type of the information that obtain is the user who is arranged in this region, and this can obtain from PCEF 34, and accesses the instruction of this service, and this can obtain from TDF 36.Based on these instructions, PCRF 30 can increase progressively counter the inferior counting number to accessing this service.
-according to another example, network statistics can represent service traffics, for example, and the quantity of the upstream data packet of transmission while using the user of certain terminal type to use IMS service.In this case, the type of the information of obtaining is the user with this terminal type, this can obtain from PCEF 34 according to the International Mobile Station Equipment Identification of user terminal (IMEI), and use this IMS to serve, this can obtain from AF 50, and the service traffics of these user's transmission, this can obtain from PCEF 34 based on each user.PCRF 30 can gather the service traffics of the transmission of different user.
-according to another example, network statistics can represent to access the quantity of certain service.In this case, the type of the information that obtain is the instruction of this service of access, and this can obtain from TDF 36.Based on these instructions, PCRF 30 can increase progressively counter the inferior counting number of all users being accessed to this service.
-according to another example, network statistics can represent to consider that user subscribes situation, the quantity of IMS access when roaming that PCRF 30 has authorized.In this case, PCRF 30 can select from IMS, for example, can be that the AF 50 of a part of IMS obtains application message, obtains roaming information, and itself obtain authorization message from PCRF 30 from PCEF 34.
-according to another example, network statistics can represent to consider that user subscribes situation, the quantity of IMS access when the undelegated roaming of PCRF 30.In this case, PCRF 30 can select from IMS, for example, can be that the AF 50 of a part of IMS obtains application message, obtains roaming information, and itself obtain authorization message from PCRF 30 from PCEF 34.
-according to another example, network statistics can represent to consider that user subscribes situation and congestion information, the quantity of the IMS access in certain region that PCRF has authorized.In this case, PCRF 30 can select from IMS, for example, can be that the AF 50 of a part of IMS obtains application message, obtains congestion information, and itself obtain authorization message from PCRF 30 from PCEF 34.
-according to another example, network statistics can represent to consider that user subscribes situation and congestion information, the quantity of the IMS access in undelegated certain region of PCRF.In this case, PCRF 30 can select from IMS, for example, can be that the AF 50 of a part of IMS obtains application message, obtains positional information, and itself obtain authorization message from PCRF 30 from PCEF 34.
-according to another example, network statistics can represent to consider that user subscribes situation and service features, that is, consider according to service, needs certain access type, the quantity of the IMS access of the RAT of the use that PCRF has authorized type.In this case, PCRF 30 can select from IMS, for example, can be that the AF 50 of a part of IMS obtains application message, obtains RAT type information, and itself obtain authorization message from PCRF 30 from PCEF 34.
-according to another example, network statistics can represent to consider that user subscribes situation and service features, that is, consider according to service, needs certain access type, the quantity of the IMS access of the RAT of the use that PCRF has authorized type.In this case, PCRF 30 can select from IMS, for example, can be that the AF 50 of a part of IMS obtains application message, obtains RAT type information, and itself obtain authorization message from PCRF 30 from PCEF 34.
As seeing from example above, PCRF 30 can be retrieved as generating network by the interface providing in the PCC architecture of Fig. 1 and add up the dissimilar information that will use.Moreover in the some of them of example above, the information of some types or the selection of information source are determined according to other information.For example, customer group can be by the information definition from data bank 38, and then PCRF 30 can be chosen as the node that monitors that these users' session will be used, some PCEF or TDF that this relates to can comprise the session of for example selecting to process these users time.
In the process of Fig. 2, suppose that first node 21 and Section Point 22 are chosen as information source.Correspondingly, PCRF 30 can ask by sending message 205 to first node 21 information of the first kind from first node 21.In message 205, PCRF 30 can for example specify the type of the information that will report.First node 21 can confirm to receive message 205 by sending message 206 to PCRF 30.Moreover PCRF 30 can ask by sending message 207 to Section Point 22 information of Second Type from Section Point 22.In message 207, PCRF 30 can for example specify the type of the information that will report.Section Point 22 can confirm to receive message 207 by sending message 208 to PCRF 30.
The action that then first node 21 and Section Point 22 can be taked to be applicable to provides the information of asked type.For example, if first node 21 is corresponding to TDF 36, it can check data divide into groups to provide this information, if or Section Point corresponding to PCEF 34, it can become trigger arrangement some event of report, for example the event of definition in the 6.1.4 of 3GPP 23.203 joint.In the process of Fig. 2, first node 21 is reported asked information by sending message 209 to PCRF 30, and Section Point 22 is reported asked information by sending message 210 to PCRF 30.
As shown in step 211, PCRF 30 then can be by generating network statistics by the information assemble receiving from first node 21 and Section Point 22.Then PCRF 30 can report to NIF 60 by the network statistics of generation, and in the process of Fig. 2, this implements by sending message 212 to NIF 60.NIF 60 can confirm to receive message 212 by sending message 213 to PCRF 30.PCRF 30 reporting ent statistics can adopt various ways to control, for example, after receiving 201 past in certain time interval of message, implement, by the time interval of rule, implement continually according to certain sweep spacing, response is relatively implemented the value of supervision and threshold value, maybe can respond from NIF 60 and force the request of reporting immediately to be implemented.
Some demonstration programs of adding up by the signaling diagram diagram reporting ent of Fig. 3.In Fig. 3, diagram node 21, PCRF 30 and NIF 30.Node 21 can be corresponding to any element being connected with PCRF 30 interfaces shown in Fig. 1, for example SGW 24 or BBERF 39, PGW 26 or PCEF 34, TDF 36, thesaurus 38, OCS 44, AF 50 or FAN 55.Node 22 can also be corresponding to the node of more unshowned other types in the Fig. 1 being connected with PCRF 30 interfaces.
By message 301,302, PCRF 30 obtains the information that generates one or more required types of NIF 60 network statistics of certain type of asking from node 21.Utilize message 303, NIF 60 asks reporting ent statistics immediately.
Response receives message 303, and the information that PCRF 30 obtains by compilation generates network statistics, as shown in figure step 304, and by sending message 305 to NIF 60, the network statistics of generation is reported to NIF 60.NIF 60 can confirm to receive message 305 by sending message 306 to PCRF 30.
No matter whether network statistics has been reported to NIF 60, PCRF 30 can be by repeatedly obtain the information of same type from node 21, as shown in message 307 and 308, to continue supervisory work so that generating network statistics repeatedly.For example,, as the initial request from NIF 60 of the message 201 with Fig. 2 may define the report time table based on one or more trigger events.The time that an example of this type of trigger event is timer expires.For example, may be defined in the report afterwards of certain time interval or report by the time interval of rule from the initial request of NIF 60.In this case, once or each timer time expire, report that can trigger network statistics.Another example of trigger event is that the value monitoring reaches threshold value.For example, PCRF 30 can monitor the quantity of the packet of having transmitted, and can exceed the number of thresholds of the packet defining in the initial request from NIF 60 for example and the report of trigger network statistics by the quantity of the packet of having transmitted.The value monitoring can be a part for the statistics of report.
In the process of Fig. 3, be illustrated as trigger event and occur at step 309 place, step 309 can also comprise by PCRF 30 and trigger event detected.Response detects trigger event, and the information that PCRF 30 obtains by compilation generates network statistics, as shown in step 310, and by sending message 311 to NIF 60, the network statistics of generation is reported to NIF 60.NIF 60 can confirm to receive message 311 by sending message to PCRF 30.
Be appreciated that and as shown in the process of Fig. 3, force report immediately and can also use independently of one another based on event-triggered reporting network statistics.Moreover, be appreciated that at NIF 60 and ask the situation of dissimilar network statistics from PCRF 30, can configure independently report mechanism to the network statistics of every type, for example use different primary events, different sweep spacings etc.
In above-described process, can apply different mechanism and obtain from multiple different nodes by PCRF 30 information of selection type.For example, can utilize the existing event reporting function of some node.According to the 6.1.4 joint of 3GPP TS 23.203, this type of event reporting function can be located at PCEF 34, TDF 36 and BBERF 39 places.These event reporting functions are worked on IP connectivity Access Network (IP-CAN) session-level, can report the event relevant to certain IP-CAN session.PCRF 30 then can coordinate the information relevant to different IP-CAN session so that generating network statistics.
In order to utilize existing event reporting function, PCRF 30 can subscribe new events trigger or remove the event trigger being equipped with.According to the type of node, this can use as the providing of PCC procedure of rule of definition in 3GPP TS 23.203, QoS procedure of rule provide or apply detect and control (ADC) procedure of rule provide implement.PCRF 30 can consider that PCRF 30 is that the information that generation network statistics need to obtain is equipped with or cancels event trigger.Hereinafter, with reference to explaining as the event trigger of definition in the table 6.2 of 3GPP TS 23.203 some examples that use this type of event trigger.
-according to an example, PCRF 30 may need the inferior counting number to accessing certain service.In this case, PCRF 30 can be equipped with event trigger " starting applied business detects " event trigger in PCEF 34 or TDF 36.Once this,, by impelling the applied business that detects certain type, reports to PCRF 30.The identifier of the application detecting can be included in the report of mailing to PCRF 30.If this information is only important to being arranged in the user in certain region, PCRF 30 can also be equipped with " position change " event trigger in PCEF 34 or BBERF 39.In the later case, the information that the report that can generate by " position change " event trigger according to PCRF 30 obtains, is only equipped with " starting applied business detects " event trigger to being arranged in those users in certain region.
-according to another example, PCRF 30 may need the uplink service flow counting to certain APN.In this case, PCRF 30 can be equipped with " operation report " event trigger to all IP-CAN sessions that APN is corresponding therewith in PCEF 34 or TDF 36.In addition, PCRF 30 can provide the applicable supervision keyword that attaches associated use quota to PCEF 34 or TDF 36.If this information is for example only to being not important the user of roaming, PCRF 30 can also be equipped with " PLMN change " event trigger in PCEF 34.In the later case, the information that the report that can generate by " PLMN change " event trigger according to PCRF 30 obtains, only to not being equipped with " operation report " event trigger the user who roams, i.e. report is not used the territory of another operator.
In order to be equipped with event trigger, may need the mandate again of outgoing IP-CAN session.Correspondingly, PCRF 30 and the signaling that is selected as between the node of information source can also be included in the session for outgoing IP-CAN session again authorization requests for example message 205,207,301,307.Session again authorization requests can indicate subscribe or quit the subscription of event trigger and/or PCC rule, QoS rule or ADC rule amendment, install or remove.According to the information that will obtain, one or more nodes that session relates to when authorization requests can be applied to process IP-CAN session again.
In some cases, for example, for the relevant network statistics of use of customer group that meets certain standard, PCRF 30 can be configured to the usage counter that provides corresponding.For example, according to another example, PCRF 30 can provide usage counter so that the number count of the upstream data packet of having transmitted when using IMS service to visit by certain terminal type.The value that this type of counter can monitor customer group accumulative total.For user's the IP-CAN session that meets standard, PCRF 30 can be equipped with " operation report " event trigger and applicable supervision keyword and associated use quota are provided in PCEF 34 or TDF 36.The report generating based on " operation report " event trigger, PCRF 30 can increase progressively usage counter.
In certain embodiments, can by PCRF 30 apply based on report profile mechanism to obtain the information of selection type from one or more nodes.Hereinafter, come this to explain with reference to process as shown in Figure 4, in the process shown in Fig. 4, PCRF 30 is from TDF 36 obtaining informations.But, be appreciated that and can also apply the mechanism based on report profile in conjunction with other nodes.
In the mechanism based on report profile, PCRF 30 selects report profiles from multiple report profiles, and by for example in the request of report information Identify Report profile inform will be from the node of its obtaining information about selected report profile.This node and then the report profile that can be configured to based on selected are controlled its report activity.
In the process of Fig. 4, PCRF 30 selects report profile at step 401 place.This can implement based on each user conversation according to certain choice criteria of configuration in PCRF 30.Below the example of this type of choice criteria will be explained.
-according to an example, can user's classification as choice criteria.If only need user whether to belong to certain class of subscriber, for example information of bronze medal, silver medal or gold medal, this may be applicable to.The example of this situation is network statistics and have the right in given interval, for example during last month certain service of Internet access at least the Silver Subscriber of certain number of times is relevant.
-according to another example, can use RAT type as choice criteria.If only need to have the information of user's access of certain RAT type, this may be applicable to.For example, operator will be used the basis of network statistics as investment decision in infrastructure radio facility, and this can be useful.
-according to another example, can user position as choice criteria.If need to certain region in user-dependent information, this may be applicable to.
-according to another example, can use information as choice criteria.If need to the user-dependent information of the service traffics transmitted during certain type period more than certain limit, this can be applicable to.Operator monitors that with network statistics what service or URL that certain user uses consume large service traffics, and for example, to help mark swindle or abuse, this can be useful.
As shown in step 403, the report of the information that the subsidiary PCRF 30 of TDF 36 generation asks.This report profile based on instruction in message 402 is implemented.For example, carry out report information if the report profile of instruction is defined as based on each URL, can correspondingly generate report.Then TDF 36 can send to PCRF 30 by the message 404 of subsidiary report.
As shown in step 405, PCRF 30 can for example respond the information that receives renewal from NIF 60, changes selected report profile.PCRF 30 can be by sending corresponding message, and for example in Fig. 4, the message 406 of process is indicated the change of selected report profile.
In order to realize the report mechanism based on report profile, can strengthen the interface protocol between PCRF 30 and the node of report information by the ability of can the node from PCRF 30 to report information delivering the instruction of selected report profile.This can be by adding corresponding property value in some protocol message that comprises report profile designator (RP-ID) to and realize (AVP).Below provide the example of report profile identifier and corresponding report profile:
-RP-ID=0: user conversation is not reported
-RP-ID=1: to the each service detecting of user conversation report
-RP-ID=2: to the user conversation each service detecting of report and each URL detecting
-RP-ID=N: user conversation is carried out to complete report
Correspondingly, can operation report profile adjust report manner efficiently to be suitable for particular demands.
In conjunction with TDF 36, operation report profile makes to use TDF 36 to detect the business of some type, and can use TDF 36 conducts for example according to IP or the DPI detector that quantity, service traffics, service time etc. provide polytype information that hit corresponding to polytype URL or service.This can be by configuration TDF 36 to provide record to realize corresponding to each service detecting or each URL detecting, then can be used as the basis of report.Can periodically implement or by the trigger event of one or more configurations, for example, hit quantity or reach flow threshold and trigger from the report of TDF 36.TDF 36 can also generate the information that will report by particular sample technology, can reduce like this amount of the business that will analyze.For example, can only process the processing grouping with odd number or IP address, even number destination, thereby reduce enough statistical accuracies of processing in the load result that maintenance obtains simultaneously.
Fig. 5 also illustrates according to the demonstration of the strategy controller 30 of the embodiment of the present invention and realizes.Strategy controller 30 can be corresponding to as the strategy controller of explaining in conjunction with Fig. 1-4, and can be used as particularly PCRF and realize.
In illustrated example, strategy controller 30 comprises multiple node interface 120,130 and network statistics interface 140.Node interface 120,130 can be for communicating by letter with polytype network node, as gateway node, and for example SGW 24 or PGW 26; Business detection node, for example TDF 36; AF node, for example, AF 50; Subscriber database node, for example data bank 38; Charge system node, for example OCS 44; Or fixed access network node, for example, FAN 55.Network statistics interface 140 can for network intelligence function, for example NIF 60 communicates by letter.In 3GPP PCC architecture as shown in Figure 1, node interface 120,130 can realize Gx, Gxx, Rx, Sd, Sp or Sy reference point or RADIUS interface.
Moreover strategy controller 30 comprises the processor 150 that is coupled to interface 130,120,140 and the memory 160 that is coupled to processor 150.Memory 160 can comprise read-only memory (ROM), for example flash rom, random-access memory (ram), for example dynamic ram (DRAM) or static RAM (SRAM) (SRAM), high-capacity storage, such as hard disk or solid state hard disc etc.Memory 160 can comprise the program code of configuration rightly to be carried out for processor 150, so that the strategy controller 30 that realization is added up for generating network is above-described functional.More specifically, memory 160 can comprise that node selects module 170, selects as described herein functional as information source of one or more nodes to realize.Moreover memory 160 can comprise control information type selecting module 180, so that the type that realization is generation network statistics as described herein selects the information that will obtain is functional.Moreover memory 160 can comprise network statistics generation module 190, so that the network statistics that realization is generated by obtained information assemble network statistics and report as described herein is functional.
Be appreciated that the structure shown in Fig. 5 is only schematically, and strategy controller 30 is actual can comprise other assembly, for simple and clear object, is illustrated, for example, other interface.Have, the some of them of illustrated structure can be omitted again.For example, in certain embodiments, one of them of node interface 120,130 can be omitted.Have again, be appreciated that memory 160 can comprise the code modules of not shown other type, for example, for the known function of implementation strategy controller, the code modules of such as filter generation etc.According to some embodiment, can also provide computer program for realizing according to the concept of the embodiment of the present invention, for example storage will be stored in the medium of memory 160 Program codes.
Fig. 6 illustrates for illustrating according to the flow chart of the method for the embodiment of the present invention.The method can be in mobile network, and can in mobile network's strategy controller, realize specifically, for example, in the strategy controller 30 of PCC architecture as shown in Figure 1, realize.
At step 610 place, strategy controller receives the request for generating at least one network statistics.This request can identify multiple network statistics that strategy controller will generate.This request can comprise one or more statistics identifiers to for example identify the network statistics of being asked with the form of list.Can be from network intelligence function, the NIF 60 of for example Fig. 1-3 receives this request.Network statistics can be expressed as certain service and register and use the user's of certain radio access technologies quantity; The quantity of the access of the user who is arranged in certain region to certain service; The user's that when roaming, use business is accelerated quantity; Access the quantity of certain Internet resources; Access the quantity of certain service; The quantity of the session of setting up in conjunction with certain gateway node; The quantity of active user; The service traffics of having transmitted; And/or the quantity of the packet of having transmitted.Correspondingly, network statistics can relevant multiple users.
At step 620 place, strategy controller selects at least one node as information source from multiple nodes.The example of this category node comprises gateway node, the SWG 24 of for example Fig. 1 or PGW 26; Business detection node, for example, comprise the node of the TDF 36 of Fig. 1 or 4; Application function node, for example, comprise the node of the AF 50 of Fig. 1; Subscriber database node, for example, comprise the node of the data bank 38 of Fig. 1; Charge system node, for example, comprise the node of the OCS 44 of Fig. 1; And the node of fixed access network, the FAN 55 of for example Fig. 1.The information that this strategy controller can also be identified for generating the network statistics of asking can originally be in acquisition at strategy controller.In this case, this strategy controller can be selected own to information source.This can be based on the statistics identifier that comprises in request and/or based on strategy controller place canned data, for example, adopt certain statistics identifier is implemented to the corresponding form that configures relevant information of information source.
At step 630 place, strategy controller is selected the information of one or more types that will obtain.Have, this can be based on the statistics identifier that comprises in request and/or based on strategy controller place canned data again, for example, adopt certain statistics identifier is implemented to the corresponding form that configures relevant information of the information type that will obtain.
In certain embodiments, select node as information source and/or select information type to determine according to other information of strategy controller acquisition.Correspondingly, in certain embodiments, strategy controller can select one or more nodes as first information source, and obtains the first information from elect these one or more nodes in first information source as.Strategy controller then can be based on obtained the first information information that is at least one type of generating network statistics and select at least one node and/or will obtaining.For example, strategy controller can be first from subscriber database node, for example, from data bank 38 obtaining informations, so that definition customer group, and then can select one or more gateway nodes, for example comprise the gateway node of PCEF, obtained the information about these users' user conversation, for example instruction of access, use instruction, position instruction etc.Moreover, for the first time, business detection node, for example TDF 36 can select the business of certain type, and then strategy controller can be selected from for example comprising the gateway node receiving position information as the PCEF of PGW 26, to follow the tracks of the position that this service is being used.
At step 640 place, strategy controller obtains the information of selection type from being chosen as one or more nodes of information source.In this connects, strategy controller can also determine whether set up session with selected node.For example, in some cases, may can be used for strategy controller from the information of node selection type, for example, from obtaining with the existing or previous session of this node.For obtaining information, strategy controller can also be selected report profile from multiple report profiles, and the report request of mark this report profile is sent to the node of electing information source as.More specifically, can use the mechanism based on report profile of explaining in conjunction with Fig. 4.
At step 650 place, the network statistics of the Information generation one or more requests of strategy controller based on obtaining as step 640 place.This can comprise coordinates and the information of combination to multiple different user sessions acquisitions.
At step 660 place, strategy controller sends the report that comprises one or more generated network statistics.The entity that typically this report is sent to the request of initiating step 610, for example, send to network intelligence function.This report can respond trigger event, and for example response sends with threshold value comparison.As alternative, this report can regularly send, and for example, according to sending as the sweep spacing defining in the request of step 610, or response sends immediately from the request of network intelligence function.
Correspondingly, in embodiment as explained above, PCRF can be provided with to the interface of network intelligence function.PCRF can be pre-configured to and process dissimilar network statistics.In order to generate these network statistics, PCRF can, by the information obtaining from different nodes, comprise the information assemble from PCRF itself.PCRF can carry out by the generation of network statistics and IP-CAN session coordination.PCRF can also be configured to coordinate the information of obtaining and store important information.PCRF can report to network intelligence function by generated network statistics, and this can periodically implement, and the value that response monitors reaches threshold value to be implemented, or enforcement during from the dominant request of network intelligence function.For the network statistics that represents use information, for example, according to the quantity of up and/or descending byte or according to the service traffics of having transmitted of the quantity of up and/or downstream data packet, PCRF can provide and manage usage counter, and the use of this usage counter accumulative total customer group is to reach statistics object.
Interface between PCRF and network intelligence function, the Ni interface of for example Fig. 1 can be supported the network statistics request from network intelligence function to PCRF, be sent to the network statistics report of network intelligence function from PCRF, and also support to be alternatively sent to from network intelligence function the report request of PCRF.
Network statistics request can comprise the list of asked network statistics and associated information.Network statistics request can for example comprise one or more statistics identifiers of the network statistics of some type.PCRF understanding statistics identifier the information source that can select the type of the information that will obtain and add up for generating map network based on statistics identifier.Network statistics request can also define the timetable for reporting ent statistics, for example, according to trigger event or sweep spacing.Network statistics request can also allow the set of the network statistics request definition to previous transmission to add, revise or remove network statistics.The network statistics that network statistics report comprises one or more requests.Report request forces PCRF to report immediately the network statistics of one or more requests.
Use the concept of embodiment above, mobile network's operator can obtain polytype network statistics efficiently, then can be used as the basis of business or network management decision-making.For this purpose, can reuse existing infrastructure and interface.
Be appreciated that these examples and embodiment are only illustrative and are easily susceptible to multiple amendment as explained above.For example, in the mobile network of other types that, can be outside illustrated 3GPP realizes, use these concepts.These concepts can also be applied to polytype FMC network.Have, these concepts can be combined to apply with the polytype node that is coupled to strategy controller again, and this can be different from the example of node mentioned above.Moreover, be appreciated that concept above can use the software of the correspondence design of being carried out by the processor of existing equipment or realize with special equipment hardware.

Claims (15)

1. for mobile network's the method for network statistics is provided, it comprises:
Mobile network's strategy controller (30), it receives the request (201) for generating network statistics;
Described strategy controller (30) is from multiple nodes (21,22; 24,26,30,34,36,38,39,44,50,55) select at least one node (21,22; 24,26,30,34,36,38,39,44,50,55) as information source;
Described strategy controller (30) is selected the information of at least one type that will obtain;
Described strategy controller (30) is from selected at least one node (21,22; 24,26,30,34,36,38,39,44,50,55) obtain the information of selection type;
The network statistics that the Information generation of described strategy controller (30) based on obtained asked; And
Described strategy controller (30) sends the report (212) that comprises generated network statistics.
2. the method for claim 1, wherein said multiple nodes comprise the node (55) of described strategy controller (30), gateway node (24,26), business detection node (36), application function node (50), subscriber database node (38), charge system node (44) or fixed access network.
3. method as claimed in claim 1 or 2, wherein said request (201) comprises statistics identifier; And
Wherein said strategy controller (30) is selected described at least one node (21,22 based on described statistics identifier; 24,26,30,34,36,38,39,44,50,55) and/or the information of described at least one type.
4. the method as described in any one in claim above,
Wherein said strategy controller (30) is based on being stored at least one node (21,22 described in the Information Selection that strategy controller (30) locates; 24,26,30,34,36,38,39,44,50,55) and/or the information of described at least one type.
5. the method as described in any one in claim above, it comprises:
Described strategy controller (30) is selected described node (21,22; 24,26,30,34,36,38,39,44,50,55) one of them is as first information source;
Described strategy controller (30) is from electing the described node (21,22 in first information source as; 24,26,30,34,36,38,39,44,50,55) obtain the first information;
The first information of wherein said strategy controller (30) based on obtaining selected described at least one node (21,22; 24,26,30,34,36,38,39,44,50,55) and/or the information of described at least one type.
6. the method as described in any one in claim above, it comprises:
Described strategy controller (30) whether determine will with selected node (21,22; 24,26,30,34,36,38,39,44,50,55) set up session.
7. the method as described in any one in claim above, it comprises:
Described strategy controller (30) is selected the report profile of the information for obtaining selected type from multiple report profiles; And
The report request (402) of the described report profile of mark is sent at least one selected node by described strategy controller (30).
8. the method as described in any one in claim above,
Multiple network statistics that strategy controller described in wherein said request mark (30) will generate.
9. the method as described in any one in claim above,
Wherein said network statistics is about multiple users.
10. the method as described in any one in claim above,
Wherein said network statistics is expressed as certain service and registers and use the user's of certain radio access technologies quantity, the quantity of the access of the user who is arranged in certain region to certain service; The user's that when roaming, use business is accelerated quantity; Access the number of times of certain Internet resources; Access the quantity of certain service; The quantity of the session of setting up in conjunction with certain gateway node; The quantity of active user; The service traffics of having transmitted; And/or the quantity of the packet of having transmitted.
11. 1 kinds of strategy controllers for mobile network (30), it comprises:
Be used at least one interface (120,130) with described mobile network and/or other node communications;
Network statistics interface (140); And
Processor (150),
Wherein said processor (150) is configured to carry out following steps:
-receive the request (201) for generating network statistics via described network statistics interface (140),
-from multiple nodes (21,22; 24,26,30,34,36,38,39,44,50,55) select at least one node (21,22; 24,26,30,34,36,38,39,44,50,55) as information source,
The information of at least one type that-selection will be obtained,
-from selected at least one node (21,22; 24,26,30,34,36,38,39,44,50,55) obtain the information of selection type,
The network statistics that-Information generation based on obtained is asked, and
-send the report (212) that comprises generated network statistics via described network statistics interface (140).
12. strategy controllers as claimed in claim 11 (30),
Wherein said processor (150) is configured to carry out as the step of the method defining in any one in claim 1 to 10.
13. 1 kinds for generating mobile network's the system of network statistics, and it comprises:
Described mobile network's strategy controller (30); And
Network intelligence node (60),
Wherein said strategy controller (30) is configured to carry out following steps:
-receive the request (201) for generating network statistics from described network intelligence node (60),
-from multiple nodes (21,22; 24,26,30,34,36,38,39,44,50,55) select at least one node (20) as information source,
The information of at least one type that-selection will be obtained,
-from selected at least one node (21,22; 24,26,30,34,36,38,39,44,50,55) obtain the information of selection type,
The network statistics that-Information generation based on obtained is asked, and
-send the report (212) that comprises generated network statistics to send to described network intelligence node (60).
14. systems as claimed in claim 13,
Wherein said strategy controller (30) is configured to carry out as the step of the method defining in any one in claim 1 to 10.
This computer program of the program code that the processor (150) of 15. 1 kinds of strategy controllers that comprise mobile network (30) is carried out, is configured to described strategy controller carry out the method as any one definition in claim 1 to 10 thus.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106664540A (en) * 2015-07-07 2017-05-10 华为技术有限公司 Method, apparatus and system for detecting anomaly of terminal device

Families Citing this family (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014127812A1 (en) * 2013-02-20 2014-08-28 Nokia Solutions And Networks Oy Adapting pcc rules to user experience
JP6574426B2 (en) * 2014-01-09 2019-09-11 サムスン エレクトロニクス カンパニー リミテッド Method and apparatus for transmitting media data related information in multimedia transmission system
US9769685B1 (en) * 2014-04-01 2017-09-19 Sprint Communications Company L.P. Long term evolution (LTE) network management system to process and display internet protocol usage data
US10659478B2 (en) * 2014-07-21 2020-05-19 David Paul Heilig Identifying stealth packets in network communications through use of packet headers
CN106211116A (en) * 2015-04-29 2016-12-07 中兴通讯股份有限公司 Policing rule formulating method, system and device
US10382918B2 (en) 2015-05-14 2019-08-13 Telefonaktiebolaget Lm Ericsson (Publ) System and methods for monitoring events associated with services of mobile devices
CN104994230B (en) * 2015-06-30 2018-09-04 北京奇虎科技有限公司 A kind of communication means, mobile terminal and system for mobile terminal
CN104954494B (en) * 2015-06-30 2018-12-25 北京奇虎科技有限公司 A kind of method of rate of exchange shopping
US10462689B2 (en) * 2015-09-22 2019-10-29 Veniam, Inc. Systems and methods for monitoring a network of moving things
FR3047333B1 (en) * 2016-01-29 2018-01-26 Morpho METHOD FOR MONITORING A MOBILE TELECOMMUNICATION TERMINAL
US10171549B2 (en) * 2016-02-23 2019-01-01 International Business Machines Corporation Notification alerts based on increased access to a digital resource
US10498600B2 (en) * 2017-02-06 2019-12-03 Veniam, Inc. Systems and methods for real-time, selective and event-driven data model to feed services and applications for access points including access points related to autonomous and non-autonomous vehicles in a network of moving things
US11050789B2 (en) 2017-06-15 2021-06-29 Palo Alto Networks, Inc. Location based security in service provider networks
US10812532B2 (en) 2017-06-15 2020-10-20 Palo Alto Networks, Inc. Security for cellular internet of things in mobile networks
US10834136B2 (en) 2017-06-15 2020-11-10 Palo Alto Networks, Inc. Access point name and application identity based security enforcement in service provider networks
US10721272B2 (en) 2017-06-15 2020-07-21 Palo Alto Networks, Inc. Mobile equipment identity and/or IOT equipment identity and application identity based security enforcement in service provider networks
US10708306B2 (en) 2017-06-15 2020-07-07 Palo Alto Networks, Inc. Mobile user identity and/or SIM-based IoT identity and application identity based security enforcement in service provider networks
US10693918B2 (en) 2017-06-15 2020-06-23 Palo Alto Networks, Inc. Radio access technology based security in service provider networks
SG11202103251XA (en) * 2018-09-30 2021-04-29 Guangdong Oppo Mobile Telecommunications Corp Ltd Information processing method, terminal device, and storage medium
WO2022034693A1 (en) 2020-08-14 2022-02-17 日本電信電話株式会社 Communication system, communication quality measuring method, gateway device, and program

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101690304A (en) * 2007-07-11 2010-03-31 艾利森电话股份有限公司 Method and apparatus for determining service performance
US7890473B1 (en) * 2004-10-26 2011-02-15 Sprint Communications Company L.P. Method and system for evaluating performance of a computer system

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000047003A1 (en) 1999-01-25 2000-08-10 Mpath Interactive, Inc. Method, system and computer program product for adaptive logging
US6594277B1 (en) * 1999-07-22 2003-07-15 Avaya Technology Corp. Dynamic-rate, differential class-based quality of service agent for internet protocol exchange systems
JP4234933B2 (en) * 2002-02-15 2009-03-04 日本電信電話株式会社 Traffic data generator
JP2004363947A (en) * 2003-06-04 2004-12-24 Ntt Docomo Inc Traffic collecting device
US8190731B2 (en) * 2004-06-15 2012-05-29 Alcatel Lucent Network statistics processing device
WO2009022953A1 (en) * 2007-08-15 2009-02-19 Telefonaktiebolaget Lm Ericsson (Publ) Monitoring individual data flow performance
WO2010034350A1 (en) 2008-09-26 2010-04-01 Telefonaktiebolaget Lm Ericsson (Publ) Method for processing database communications
US8719392B2 (en) * 2009-02-27 2014-05-06 Red Hat, Inc. Searching a managed network for setting and configuration data
WO2010128391A2 (en) 2009-05-04 2010-11-11 Bridgewater Systems Corp. System and methods for mobile device-based data communications cost monitoring and control

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7890473B1 (en) * 2004-10-26 2011-02-15 Sprint Communications Company L.P. Method and system for evaluating performance of a computer system
CN101690304A (en) * 2007-07-11 2010-03-31 艾利森电话股份有限公司 Method and apparatus for determining service performance

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
3GPP: "《3GPP TS 23.203 V11.1.0》", 17 March 2011 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106664540A (en) * 2015-07-07 2017-05-10 华为技术有限公司 Method, apparatus and system for detecting anomaly of terminal device
CN106664540B (en) * 2015-07-07 2020-01-31 华为技术有限公司 Method, device and system for detecting abnormality of terminal equipment
US10645106B2 (en) 2015-07-07 2020-05-05 Huawei Technologies Co., Ltd. Method, apparatus, and system for detecting terminal device anomaly

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